{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SSIMGL6NV4AOUPN553FMZPXTAN","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b3bd7d35fd43019cbc19845d46e5066aac7aada614a1c1f5309d898111334a75","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2024-12-11T10:56:47Z","title_canon_sha256":"2c69028932a6cd7c2f20b0ace3b35373b49c84c00f46689965ba1b43f9caea23"},"schema_version":"1.0","source":{"id":"2412.08281","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.08281","created_at":"2026-07-05T09:47:47Z"},{"alias_kind":"arxiv_version","alias_value":"2412.08281v1","created_at":"2026-07-05T09:47:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.08281","created_at":"2026-07-05T09:47:47Z"},{"alias_kind":"pith_short_12","alias_value":"SSIMGL6NV4AO","created_at":"2026-07-05T09:47:47Z"},{"alias_kind":"pith_short_16","alias_value":"SSIMGL6NV4AOUPN5","created_at":"2026-07-05T09:47:47Z"},{"alias_kind":"pith_short_8","alias_value":"SSIMGL6N","created_at":"2026-07-05T09:47:47Z"}],"graph_snapshots":[{"event_id":"sha256:af5a2d3a9589c9b5c6415a526b08aa4be41f3d33b55296d90e7d0716ad8fb43d","target":"graph","created_at":"2026-07-05T09:47:47Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2412.08281/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models are increasingly used to build agents to perform more complex tasks. As LLMs perform more complicated reasoning through longer interactions, self-consistency, i.e., the idea that the answer obtained from sampling and marginalising a number of multiple independent inferences is more likely to be correct, has received much attention as a simple validation technique. This paper aims to empirically verify this intuitive hypothesis by predicting the correctness of answers obtained using self-consistency from properties of the samples of reasoning paths. We introduce Lachesis, ","authors_text":"Gabin An, Naryeong Kim, Shin Yoo, Sungmin Kang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2024-12-11T10:56:47Z","title":"Lachesis: Predicting LLM Inference Accuracy using Structural Properties of Reasoning Paths"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.08281","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b4306f5fa504f23753aca67172047ae579c132acb6b1ba95262290c882454707","target":"record","created_at":"2026-07-05T09:47:47Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b3bd7d35fd43019cbc19845d46e5066aac7aada614a1c1f5309d898111334a75","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2024-12-11T10:56:47Z","title_canon_sha256":"2c69028932a6cd7c2f20b0ace3b35373b49c84c00f46689965ba1b43f9caea23"},"schema_version":"1.0","source":{"id":"2412.08281","kind":"arxiv","version":1}},"canonical_sha256":"9490c32fcdaf00ea3dbdeecaccbef3035f46db8a39756ed7b653da39b5e82128","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9490c32fcdaf00ea3dbdeecaccbef3035f46db8a39756ed7b653da39b5e82128","first_computed_at":"2026-07-05T09:47:47.637744Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:47:47.637744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IKbaJOnJjbiO/b4VZ59HDwhW1Aq7DIkA0t8GqT8S16s5IYD53JQxK6PPmQEC54uU+VhCA0aEGsXTfvEJGWyEDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:47:47.638205Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.08281","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b4306f5fa504f23753aca67172047ae579c132acb6b1ba95262290c882454707","sha256:af5a2d3a9589c9b5c6415a526b08aa4be41f3d33b55296d90e7d0716ad8fb43d"],"state_sha256":"db0871b7cbb4988efeccbf03954d847bd6ae990a4681395689677a673ff05cfe"}